Background: Three-dimensional (3D) printing technologies such as Stereolithography (SLA) and Digital Light Processing (DLP) are widely used in dental implantology for the fabrication of surgical guides. While both methods offer clinical viability, their comparative accuracy, efficiency, and material consumption remain subjects of debate. Objectives: To compare the dimensional accuracy, printing time, and material consumption of dental surgical guides fabricated using an SLA printer (Formlabs Form 3B) and a DLP printer (NextDent 5100) at various printing orientations. Methods: A standardized surgical guide was designed and printed on both printers across seven orientations (0–90°). Five guides per angle were fabricated per technology (n = 35 per printer), scanned, and compared with the CAD reference to evaluate dimensional accuracy. Printing time and resin consumption were recorded. Statistical analyses included the Shapiro–Wilk test and Mann–Whitney U test (α = 0.05). Results: Within the evaluated printers and resins, SLA-printed guides demonstrated slightly lower Root Mean Square (RMS) values in most regions, especially in occlusal and drill hole surfaces, while DLP guides tended to undersize Optimal accuracy was observed at 45° for SLA and 60° for DLP. Material consumption was lower for the SLA printer compared with the DLP printer, but SLA required longer printing time (90–200 min vs. 25–75 min for DLP). Conclusions: Both technologies produced clinically acceptable guides under the tested conditions. The tested SLA printer tended to offer slightly higher accuracy and material efficiency, whereas the DLP printer achieved shorter printing times, supporting its use in high-throughput workflows. Printing orientation significantly influenced accuracy and resource use.

According to the European Union (EU) Directive 2005/36, the medical specialty of oral and maxillofacial surgery (OMFS) exists with two possible formats: dual degree OMFS called Dental, Oral and Maxillofacial Surgery (DOMFS) - basic medical and basic dental training and single medical degree Maxillofacial Surgery (MFS). Within the EU and across all of Europe, differences in the nature and quality of OMFS training coexist. By implementing the highest possible standards of training, patient care can be improved. To establish quality metrics for an ideal OMFS training programme, the European OMFS Trainee Forum of the Union Européenne des Médecins Spécialistes (UEMS) conducted a Delphi consensus protocol from November 2023 to January 2024. Facilitated by the OMFS Section of UEMS, 57 trainees from 32 countries participated. The process involved the definition of three quality levels using the red, amber, and green (RAG) rating system. Following the Delphi process, 46 domains were identified, including features within training programmes/rotations, teaching and education programmes, training placements, recording of training progression and activity, and external assessment of training programmes. The results were aligned with the UEMS OMFS European Training Requirement (ETR). With the introduction of a RAG rating, trainees and trainers can review their training programmes with the aim of improving them by moving domains from Red to Green. Raising the standard of training will benefit our patients. This initiative could mark a significant step towards the harmonisation of OMFS training, improving quality and ensuring consistent, high-level care throughout Europe.

This study aimed to evaluate the availability and use of dental and maxillofacial emergency algorithms in Swiss hospitals. A survey was performed among physicians at Swiss emergency departments (ED) and participants of the “36th Annual Meeting of the Society for Oral and Cranio-Maxillofacial Surgery”. Eighty-nine EDs in Switzerland were questioned about the availability and use of electronic algorithms in their hospitals. Eighty-one (91%) participated in the study. In 75 (93%) of the EDs, electronic algorithms are used, mainly “medStandards”. Six have no available algorithms. Fifty-two (64%) use algorithms daily. Eight (10%) Swiss EDs have maxillofacial and dental algorithms, and 73 (90%) have no access to or do not know about them. For dental algorithms, 28 (38%) of the respondents would like to have access, and 16 (22%) do not desire access. For maxillofacial algorithms, 23 (32%) want to have access and 21 (29%) do not want it. Most (74%) of the participating maxillofacial surgeons did not know about the existence of ED algorithms regarding their specialty. Our study shows that the existence of specific algorithms is often not known. Furthermore, there is a demand for dental and maxillofacial algorithms in Swiss EDs.

Facial feminization surgery is a key component of gender-affirming care, with mandibular angle reduction playing an essential role in creating a more feminine facial contour. This study evaluated the accuracy and effectiveness of using patient-specific cutting guides produced through virtual surgical planning and point-of-care 3D printing. Thirteen patients who underwent mandibular angle reduction at the University Hospital Basel were included. Preoperative CT or CBCT imaging was used to design and fabricate custom cutting guides, which were employed during surgery. Postoperative scans were assessed to determine changes in mandibular volume and surface distances, and to evaluate surgical accuracy. The results showed a significant average volume reduction of 1145.70 mm³ per mandibular angle, with a mean maximum surface distance of 8.04 mm. No significant differences in outcomes were found between the left and right sides. Osteotomies closely followed the planned resection lines, with mean deviations of 0.81 mm and maximum deviations of 1.79 mm. No intraoperative or postoperative complications occurred, and all patients experienced uneventful healing. These findings demonstrate that virtual planning combined with in-house 3D printing of cutting guides provides a safe, precise, and efficient method for mandibular contouring in facial feminization surgery, offering high surgical accuracy and cost-effective workflow integration.